Relationship between renal function and periodontal disease in community-dwelling elderly women with different genotypes

Clinical response to nonsurgical periodontal therapy is associated with decreased serum leukocyte count and uric acid levels in kidney transplant recipients

OBJECTIVE

This study sought to investigate the relationship between clinical response to nonsurgical periodontal therapy (NSPT) and serum changes in leukocyte count, fasting blood glucose, hemoglobin, hematocrit, creatinine, and uric acid in kidney transplant recipients (KTR).

METHODOLOGY

A prospective study was performed on 20 KTRs. Periodontal and serum data were collected before and 90 days after NSPT, and delta values (Δ = after NSPT - before) were calculated. Periodontal assessment included periodontal probing depth (PPD), clinical attachment level (CAL), and bleeding on probing (BOP). Patients were classified based on the presence of periodontitis and then categorized into stages.

RESULTS

Patients showed a reduction in the percentage of sites with PPD≥3mm, PPD≥4 mm and BOP, after NSPT. There was a direct correlation between the deltas of leukocyte count and CAL ≥3 mm (r=0.645, P=0.002) and BOP (r=0.663, P=0.001), and the deltas of uric acid and CAL ≥3 mm (r=0.562, P=0.010).

CONCLUSION

A good clinical response to NSPT may affect the reduction of serum levels of leukocyte count and uric acid, suggesting a beneficial effect on systemic health in KTR.

Periodontal disease and risk of mortality and kidney function decline in advanced chronic kidney disease: a nationwide population-based cohort study

OBJECTIVES

Periodontal disease is prevalent in patients with chronic kidney disease (CKD) and potentially associated with kidney function decline. However, it is uncertain whether periodontal disease affects the risk of mortality and morbidity in patients with advanced CKD.

MATERIALS AND METHODS

Taiwan's National Health Insurance Research Database was used to conduct a nationwide population-based cohort study. Propensity score matching procedures were performed to select people with stage 5 CKD and to compare the long-term risk of mortality, end-stage renal disease, and major adverse cardiovascular events (MACE) between people with and without periodontal disease. Multivariable Cox regression analyses were conducted to calculate the adjusted hazard ratio (aHR) with 95% confidence interval (CI) for the outcome of interest.

RESULTS

A total of 8119 subjects with stage 5 CKD were initially included. After matching to demographic and clinical covariates, 1254 subjects with 7099 person-years of follow-up were selected for analyses. Periodontal disease was not associated with long-term risks of all-cause mortality (aHR: 0.77, 95% CI: 0.49-1.22), progression to end-stage renal disease (aHR: 0.91, 95% CI: 0.75-1.10), or MACE (aHR: 1.18, 95% CI: 0.91-1.53). These findings were generally consistent across subgroups of age, sex, comorbid diabetes, uses of systemic antibiotic, and different dental procedures.

CONCLUSIONS

Periodontal disease is not a predictor for long-term mortality or morbidity in patients with advanced CKD.

CLINICAL RELEVANCE

These results provide important evidence to elucidate the relationship between periodontitis and critical clinical outcomes of advanced CKD.

Estimation of the Periodontal Inflamed Surface Area by Simple Oral Examination

The periodontal inflamed surface area (PISA) is a useful index for clinical and epidemiological assessments, since it can represent the inflammation status of patients in one contentious variable. However, calculation of the PISA is difficult, requiring six point probing depth measurements with or without bleeding on probing on 28 teeth, followed by data input in a calculation program. More simple methods are essential for screening periodontal disease or in epidemiological studies. In this study, we tried to establish a convenient partial examination method to estimate PISA. Cross-sectional data of 254 subjects who completed active periodontal therapy were analyzed. Teeth that represent the PISA value were selected by an item response theory approach. The maxillary second molar, first premolar, and lateral incisor and the mandibular second molar and lateral incisor were selected. The sum of the PISAs of these teeth was significantly correlated with the patient’s PISA (R² = 0.938). More simply, the sum of the maximum values of probing pocket depth with bleeding for these teeth were also significantly correlated with the patient’s PISA (R² = 0.6457). The simple model presented in this study may be useful to estimate PISA.